Research
Constructed 
        an alt-az servo-encoder drive system for a Dobsonian telescope, and 
        built a simplified version of a control system for students to get their 
        hands on experience.
      
Implemented 
        parallel algorithms for fault-tolerant decentralized signal processing 
        for the SPACE test-bed.
        
      
        
        Develop an autonomous astronomical image viewer and analyzer for FITS 
        astronomical image files. 
      
      
Develop 
        an autonomous object detection algorithm to facilitate the analysis of 
        the First Look Survey. Research is currently conducted to improve the 
        accuracy of object detection when clouds are present in the image.
        
      
Verification 
        of the autonomous object detection is being conducted based on the joint 
        efforts of students in Electrical Engineering and Physical Science.
        
      
A 
        user-friendly software tool with graphical user interface is being 
        developed to integrate the functions of the FITS image viewer, analyzer, 
        and autonomous object detection.ADD ANNE SULLIVAN'S RESEARCH HERE
      
      Research conducted by using the neural network technologies as the 
      Frequency and Timing Subsystem (FTS) forecaster of the NASA Deep Space 
      Network (DSN). 
    
    
Ph. 
      D. research: Yulu Chen, transferred from CSULA is being prepared in the 
      astronomical engineering at USC. The literature research include the 
      topics of 
    
      
      
      –Space 
      power systems and to evaluate possible applications of space nuclear power 
      generators. 
    
    
      
      
      –The 
      lunar environment, lunar base construction, and inflatable habitats.
      
    
    
      
      
      –Micrometeoroid 
      and debris shielding, health-monitoring systems, and survivability. 
    
    
      
      
      – Â“Spacecraft 
      System Design” and participated in Space Exploration Architectures Concept 
      Synthesis Studio at the University of Southern California. 
    
    
A 
      virtual space environment is being developed using 3-D animation 
      technology to assist users in learning, analyzing and designing space 
      mission, orbital mechanics, and orbital maneuvers. 
    
Two 
      research reports regarding space power systems and lunar habitats were 
      prepared for delivering the literature research at USC to the SERENADES 
      Laboratory. 
    
Health-monitoring 
      and self-repairing systems for spacecrafts and space habitats were 
      identified as a potential future research interest that needs further 
      investigation. 
    
A 
      presentation focusing on self-repairing system for inflatable space 
      habitats was made in the USC class, Space Exploration Architectures 
      Concept Synthesis Studio. 
    
A 
      three-dimensional animation software architecture model for implementing a 
      virtual space environment to be implemented has been defined.